CLINTON W. BROWNLEY AMERICAN UNIVERSITY PH.D. CANDIDATE SEPTEMBER 2, 2009 BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards.

Slides:



Advertisements
Similar presentations
Dimitri Kutsenko (Entimo AG)
Advertisements

CDISC Open Source and low-cost Solutions
Cardiology Special Interest Group Presentation to Technical Steering Committee September 12, 2005.
Duke University W. Ed Hammond, Ph.D.. Duke University GROUPS OF STANDARDS COMMUNICATIONS XML, TCP/IP, SOAP, W3C, IETF, Web services, others DATA ELEMENTS.
11 SHARE S&V Document and the Pilot An Update on CDISC SHARE January 2010 Bron W. Kisler.
Joint TC Meeting: EHR – RCRIM RCRIM Overview HL7 Working Group Meeting January, 2007 Presented by: Ed Tripp Program Director, eSubmissions Abbott (RCRIM.
CDISC Content to Message HL7 Development Overview Jason Rock
Presentation to RCRIM San Antonio, TX January 15, 2008 Meredith Nahm, M.S. CV/TB Global Data Standards Efforts Therapeutic Area Data Standards: Cardiovascular.
HL7 Working Group Meeting Orlando, Florida 14 January
BRIDG Overview Clinical Observation Interoperability March 18, 2008.
Protocol Author Process People Technology
Managing and Analyzing Clinical Data
What’s New with CDISC Wayne R. Kubick CDISC CTO.
Guoqian Jiang, MD, PhD Mayo Clinic
CDISC Standards: Connecting Clinical Research and Healthcare
© CDISC: Global Approach To Accelerating Medical Research.
CDISC (CDASH/SDTM) integration into OC/RDC
© CDISC 2012 CDISC and IHE’s contribution to EHR-enabled research Becky Kush George Cole Landen Bain.
CDISC and how Stata can help us implement it
Beyond regulatory submission - Standards Metadata Management Kevin Lee CDISC NJ Meeting at 06/17/2015 We help our Clients deliver better outcomes, so.
PhUSE SDE, 28-May A SAS based Solution for define.xml Monika Kawohl Statistical Programming Accovion.
Prof. Dr. C. Ohmann Coordination Centre for Clinical Trials (CCCT) Heinrich-Heine-University Düsseldorf, Germany Primary and secondary use of EHR: Enhancing.
CDISC Implementation Strategies: Lessons Learned & Future Directions MBC Biostats & Data Management Committee 12 March 2008 Kathleen Greene & A. Brooke.
Vertex and CDISC / MBC / 12March Vertex and CDISC Accomplishments and Strategy 12 March 2008 Lynn Anderson Associate Director Statistical Programming/Biometrics.
ODM-SDTM mapping Nicolas de Saint Jorre, XClinical June 20, 2008 French CDISC User Group Bagneux/Paris © CDISC & XClinical, 2008.
Antje Rossmanith, Roche 14th German CDISC User Group, 25-Sep-2012
Overview and feed-back from CDISC European Interchange 2008 (From April 21 st to 25 th, COPENHAGEN) Groupe des Utilisateurs Francophones de CDISC Bagneux.
1 RCRIM Vocab-BRIDG Session Wednesday, Session Q2 19 September 2007.
Emerging Technologies Semantic Web and Data Integration This meeting will start at 5 min past the hour As a reminder, please place your phone on mute unless.
Basel, September 2, 2008 Work Stream Templates. 2 CDISC User Group Work Streams Goals Sharing of expertise and knowledge –Sharing of useful tools (e.g.
RCRIM Projects: Protocol Representation and CDISC Message(s) January 2007.
Dave Iberson-Hurst CDISC VP Technical Strategy
Overview of CDISC standards and use cases along the E2E data management process Dr. Philippe Verplancke ESUG Marlow, UK 27 May 2009.
Kopenhagen, 22 April 2008 German CDISC User Group.
Clinical Research Data Capture (CRD) IHE Vendor’s Workshop 2008 IHE Quality, Research, and Public Health (QRPH) Jason Colquitt Greenway Medical Technologies.
Diagnostics Clinical Information Management (CIM) Services Field Report: Implementation of CDISC ODM Michael Walter.
Health IT Workforce Curriculum Version 1.0 Fall Networking and Health Information Exchange Unit 3b National and International Standards Developing.
From PDF to RDF – Representing the CDISC Foundational Standards
© 2011 Clinovo. All Rights Reserved. The contents of this document are confidential and proprietary to Clinovo 1 Clinovo 1208 E. Arques Avenue, Suite 114.
1 © Assero Limited, 2015 CDISC Standards and the Semantic Web Dave Iberson-Hurst 12 th October 2015 PhUSE Annual Conference, Vienna.
Copyright © 2015, SAS Institute Inc. All rights reserved. Future Drug Applications with No Tables, Listings and Graphs? PhUSE Annual Conference 2015, Vienna.
Emerging Technologies Semantic Web and Data Integration This meeting will start at 5 min past the hour As a reminder, please place your phone on mute unless.
1 CDISC HL7 Project FDA Perspective Armando Oliva, M.D. Office of Critical Path Programs FDA.
© CDISC CDISC Roadmap © CDISC CDISC Strategic Goals #1 Promote and support the continued global adoption of.
CDISC ODM OPEN Development Conference September 17-19, 2008 Phoebe Whitefield Senior Systems Analyst.
CDISC Controlled Terminology HITSP Harm. Subcommittee 1 October 2008 Bron Kisler (CDISC)
© CDISC 2015 Paul Houston CDISC Europe Foundation Head of European Operations 1 CTR 2 Protocol Representation Implementation Model Clinical Trial Registration.
NAACCR Interoperability Activities Lori A. Havener, CTR Program Manager of Standards.
Generation of real-time SDTM datasets and metadata through a generic SDTM converter mechanism CDISC (CDASH/SDTM) integration into OC/RDC Peter Van Reusel.
Submission Standards: The Big Picture Gary G. Walker Associate Director, Programming Standards, Global Data Solutions, Global Data Management.
© CDISC 2014 Sam Hume Sept 16 th, CAC eSHARE Update.
End-to-End With Standards – A Regulatory Reviewer’s Perspective
CDISC Controlled Terminology Initiative: An Overview
Paul Houston CDISC Europe Foundation Head of European Operations
Clinical database management: From raw data through study tabulations to analysis datasets Thank you for your kind introduction, and the opportunity to.
Dave Iberson-Hurst CDISC VP Technical Strategy
Leveraging R and Shiny for Point and Click ADaM Analysis
CTR: Clinical Trial Registries
CDISC and related initativies
Secondary Uses Primary Use EHR and other Auhortities Clinical Trial
Accenture Accelerated R&D Standards Metadata Management – version control and its governance Kevin Lee CDISC NJ Meeting at 01/28/2015 We help our Clients.
Why use CDISC for trials not submitted to regulators?
Quality Control of SDTM Domain Mappings from Electronic Case Report Forms Noga Meiry Lewin, MS Senior SAS Programmer The Emmes Corporation Target: 38th.
CDISC UK Network Jun-16 – Welwyn
Clinical Observation Interoperability March 18, 2008
Research on FHIR Working Group Update
W3C HCLS Task Force on Drug Safety and Efficacy
An FDA Statistician’s Perspective on Standardized Data Sets
Work Stream Templates Basel, September 2, 2008.
Presentation transcript:

CLINTON W. BROWNLEY AMERICAN UNIVERSITY PH.D. CANDIDATE SEPTEMBER 2, 2009 BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users

Presentation Outline Obstacles to Harmonization Clinical Data Interchange Standards Consortium (CDISC) Health Level Seven (HL7) Biomedical Research Integrated Domain Group (BRIDG) Benefits of Harmonization Conclusions

Obstacles to Harmonization Different Definitions and Vocabularies Different Protocols Electronic Data Management Systems that are Not Interoperable

CDISC Standards Operational Data Model (ODM) Study Data Tabulation Model (SDTM) Analysis Dataset Model (ADaM) define.xml (CRT-DDS)

CDISCs CDASH Project Clinical Data Acquisition Standards Harmonization (CDASH) Case Report Form (CRF) Content Standards based on SDTM Model Significant Positive Benefits

CDISCs HLI Project Healthcare Link Initiative (HLI) Integration Standards Interoperability between Electronic Health Records (EHRs) and Clinical Research Systems Access EHR Data for Research Purposes

HL7 Model Reference Information Model (RIM) Regulated Clinical Research Information Management (RCRIM) Working Group MOU agreement with CDISC Harmonize all CDISC and HL7 RCRIM standards with the RIM via the BRIDG Model

BRIDG Model Harmonize Clinical Trial and Healthcare Industry Models into Standard Protocol Unified Modeling Language (UML) Diagram Consistent with CDISCs ODM and HL7s RIM Semantic Interoperability among Databases Pilot Project Use Cases

Benefits of Harmonization I Minimizes Double Data Entry Reduces Inefficiencies of Manual Data Manipulation Reduces Chance of Errors Reduces Start-Up Time and Resources Improves Data Quality and Integrity

Benefits of Harmonization II Interoperability between EHRs and CRFs Process and Analysis Automation Researchers Work on Value-Generating Tasks Regulators Review Submissions More Efficiently Develop Standard Software Programs and Macros

Conclusions Significant Positive Benefits Pilot Projects Demonstrate Feasibility Enables More Efficient, Effective Healthcare and Clinical Trial Research

Questions?